You're reading from Advanced Elasticsearch 7.0

Product typeBook

Published inAug 2019

Reading LevelBeginner

PublisherPackt

ISBN-139781789957754

Edition1st Edition

Languages

Java

Tools

Elasticsearch

Concepts

Enterprise Search

Author (1)

Wai Tak Wong

Running Elasticsearch in a Docker container

On our GitHub site (https://github.com/PacktPublishing/Mastering-Elasticsearch-7.0/tree/master/Chapter13/docker_run), you can download a set of bash script files to run the application including docker_create_network, docker_run_elasticsearch, docker_run_kibana, docker_run_logstash, docker_run_filebeat, and a folder named pipeline, which contains the logstash.conf Logstash configuration file. Use the bash script file to launch an Elasticsearch server in development mode with the Elasticsearch Docker image by running the following command. However, previously you run the following command, shut down the original Elasticsearch server installed before and go to the docker_run folder:

$cd docker_run
$./docker_run_elasticsearch

You can check the status of the Elasticsearch Docker container to see whether it is running by using the list command...

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Advanced Elasticsearch 7.0

Published in: Aug 2019Publisher: PacktISBN-13: 9781789957754

Author (1)

Wai Tak Wong

Wai Tak Wong is a faculty member in the Department of Computer Science at Kean University, NJ, USA. He has more than 15 years professional experience in cloud software design and development. His PhD in computer science was obtained at NJIT, NJ, USA. Wai Tak has served as an associate professor in the Information Management Department of Chung Hua University, Taiwan. A co-founder of Shanghai Shellshellfish Information Technology, Wai Tak acted as the Chief Scientist of the R&D team, and he has published more than a dozen algorithms in prestigious journals and conferences. Wai Tak began his search and analytics technology career with Elasticsearch in the real estate market and later applied this to data management and FinTech data services.
Read more about Wai Tak Wong

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